Mukul Bansal โ DevOps Engineer
๐ AWS & DevOps Engineer | Cloud Automation | SRE | AI & GenAI | Python | Kubernetes | Senior Associate @ Macquarie Iโm a cloud-focused engineer with hands-on experience in AWS, DevOps, automation, SRE practices, Kubernetes, Docker, and AI-driven workflows. I enjoy building scalable, reliable, and automated systems that reduce manual effort, improve performance, and strengthen infrastructure resilience. As an AWS AI Cloud Practitioner, Iโm passionate about leveraging AI, GenAI, and cloud-native solutions to automate operations, optimize workflows, and enhance developer productivity. ๐ก What I Do ๐น Cloud Engineering: Building and maintaining AWS environments using EC2, Lambda, S3, DynamoDB, RDS, IAM, CloudWatch. ๐น DevOps & CI/CD: Automating deployments with Bamboo, GitHub Actions, Terraform, Docker, and Python scripts. ๐น SRE & Monitoring: Improving uptime through Dynatrace, Sumo Logic, CloudWatch, and proactive incident response. ๐น AI & Automation: Applying Amazon Bedrock concepts, RPA (Blue Prism), and Python-based automation to reduce toil. ๐น Kubernetes: Working with containerized workloads, deployments, and troubleshooting. ๐ Skills Cloud: AWS (Lambda, EC2, S3, RDS, DynamoDB, IAM, CloudWatch) DevOps: Docker, Kubernetes, Terraform, Bamboo, GitHub Actions Programming: Python, Java, C++, Bash Monitoring/SRE: Dynatrace, Sumo Logic, Alerts, Incident Response Automation: RPA (Blue Prism), Python Scripts AI: AWS AI Cloud Practitioner, Bedrock basics, LLM automation Data: SQL, log analytics ๐ Achievements โ AWS AI Cloud Practitioner Certified โ Automated AWS tasks using Lambda & Python โ cut manual effort and improved response times โ Built CI/CD pipelines that improved deployment reliability and reduced failures โ Improved system visibility using Dynatrace/Sumo Logic, reducing troubleshooting time โ Containerized apps using Docker and basic Kubernetes workloads โ 6โญ Problem Solving @ HackerRank Iโm passionate about cloud engineering, automation, and building reliable systems. Open to AWS, DevOps, SRE, Cloud, and Platform Engineering opportunities.
Stackforce AI infers this person is a Cloud and DevOps Engineer with expertise in automation and AI-driven solutions.
Location: Gurugram, Haryana, India
Experience: 6 yrs 2 mos
Skills
- Devops
- Cloud Computing
- Software Development
Career Highlights
- AWS AI Cloud Practitioner Certified
- Automated AWS tasks using Lambda & Python
- Built CI/CD pipelines improving deployment reliability
Work Experience
Macquarie Group
Senior Associate (1 yr 2 mos)
Associate (1 yr 7 mos)
Engineer Intern (5 mos)
TalentServe
Full Stack Engineer (3 mos)
UPES
Student Placement Representative (1 yr 5 mos)
ADmyBRAND
Back End Developer (2 mos)
Elite Techno Groups
AI/ML - Intern (1 mo)
National Service Scheme
Documentation And Editorial Team (2 yrs 10 mos)
Microsoft Technical Community
Management and Records Team (1 yr 6 mos)
Education
Bachelor of Technology - BTech at UPES